Data Consultant Jobs at Deloitte with Visa Sponsorship
Deloitte hires Data Consultants across its government, commercial, and strategy practices, with roles spanning analytics, data engineering, and insights delivery. The firm has a consistent track record of sponsoring work visas for this function, making it a realistic target if you're building a long-term U.S. career in consulting.
See All Data Consultant at Deloitte JobsOverview
Showing 5 of 100+ Data Consultant Jobs at Deloitte jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 100+ Data Consultant Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Consultant Jobs at Deloitte.
Get Access To All JobsGenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
GenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
See all 100+ Data Consultant at Deloitte jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Consultant at Deloitte roles.
Get Access To All JobsTips for Finding Data Consultant Jobs at Deloitte Jobs
Align your credentials to Deloitte's practice areas
Deloitte Data Consultant roles sit across distinct practices like Government and Public Services, Financial Advisory, and Strategy and Analytics. Tailor your resume to the practice you're targeting, matching your technical stack and domain experience to that team's client base.
Clarify your visa category before applying
Deloitte sponsors H-1B, H-1B1, E-3, and Green Card pathways. Knowing which category applies to you lets you ask informed questions during recruiting and avoids late-stage surprises if your timeline conflicts with the H-1B lottery or an E-3 processing window.
Time your offer around the H-1B cap cycle
If you need H-1B sponsorship, Deloitte must file in April for an October 1 start date. Starting the recruiting process in late fall or early winter gives you the best chance of receiving and accepting an offer before the March registration window closes.
Use Migrate Mate to surface open roles efficiently
Data Consultant openings at Deloitte are spread across business lines and posted under varied titles. Use Migrate Mate to filter specifically for Deloitte roles that match your visa type so you're not manually sorting through listings that won't lead to sponsorship.
Prepare for Deloitte's structured interview process early
Deloitte uses case interviews alongside technical and behavioral rounds for Data Consultant roles. Start case prep well before you apply because delays in interview readiness can push your timeline past the H-1B registration window or compress your E-3 processing buffer.
Understand what PERM means for your long-term status
Deloitte sponsors EB-2 and EB-3 Green Cards, which require DOL PERM labor certification. For Data Consultant roles, this process typically begins after you've demonstrated performance in the position, so confirming the firm's internal policy during the offer stage is practical, not premature.
Data Consultant at Deloitte jobs are hiring across the US. Find yours.
Find Data Consultant at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Data Consultants?
Yes, Deloitte sponsors H-1B visas for Data Consultant roles. The firm is a large employer with an established immigration support process, and Data Consultant positions generally meet the specialty occupation requirement USCIS uses to evaluate H-1B eligibility. If you need H-1B sponsorship, confirm the specific practice area's timeline expectations during the offer stage, since the April filing deadline is fixed.
How do I apply for Data Consultant jobs at Deloitte?
Applications go through Deloitte's careers portal, where roles are listed by service line and location. Because Data Consultant openings appear under several different titles across practices, using Migrate Mate to browse verified Deloitte listings filtered by visa type saves time and reduces the risk of applying to roles that won't support sponsorship. Campus recruiting is also a common path for early-career candidates.
Which visa types does Deloitte sponsor for Data Consultant roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for nonimmigrant work authorization, along with EB-2 and EB-3 immigrant visa pathways for permanent residence. Australian citizens are eligible for the E-3, which has no lottery and allows two-year renewable periods. H-1B1 covers Chilean and Singaporean nationals. Your visa category will depend on your nationality and career stage.
What qualifications does Deloitte expect for Data Consultant positions?
Most Data Consultant roles at Deloitte require a bachelor's degree in a quantitative or technical field such as computer science, statistics, mathematics, or engineering. Relevant experience with SQL, Python, data visualization tools, or cloud platforms strengthens an application significantly. Client-facing consulting experience or industry-specific domain knowledge, particularly in government, financial services, or life sciences, tends to differentiate candidates in competitive hiring cycles.
How long does Deloitte's visa sponsorship process take for Data Consultants?
Timeline depends on your visa category. E-3 consular processing in Australia runs roughly two to four weeks once your employer files the Labor Condition Application with the DOL and you have your documents ready. H-1B cases filed in April take effect October 1, creating a gap of up to six months from offer to start date. Premium processing through USCIS reduces the H-1B petition adjudication window to 15 business days for an additional fee.
See which Data Consultant at Deloitte employers are hiring and sponsoring visas right now.
Search Data Consultant at Deloitte Jobs